CVDec 27, 2025

Event-based high temporal resolution measurement of shock wave motion field

arXiv:2512.22474v1h-index: 14
Originality Incremental advance
AI Analysis

This enables high-precision measurement of shock waves for applications like power field testing and damage assessment, representing a domain-specific incremental advance.

The paper tackles the challenge of measuring shock wave motion parameters with high spatiotemporal resolution by proposing a novel framework using multiple event cameras, achieving speed measurement errors ranging from 0.06% to 5.20% compared to pressure sensors and empirical formulas.

Accurate measurement of shock wave motion parameters with high spatiotemporal resolution is essential for applications such as power field testing and damage assessment. However, significant challenges are posed by the fast, uneven propagation of shock waves and unstable testing conditions. To address these challenges, a novel framework is proposed that utilizes multiple event cameras to estimate the asymmetry of shock waves, leveraging its high-speed and high-dynamic range capabilities. Initially, a polar coordinate system is established, which encodes events to reveal shock wave propagation patterns, with adaptive region-of-interest (ROI) extraction through event offset calculations. Subsequently, shock wave front events are extracted using iterative slope analysis, exploiting the continuity of velocity changes. Finally, the geometric model of events and shock wave motion parameters is derived according to event-based optical imaging model, along with the 3D reconstruction model. Through the above process, multi-angle shock wave measurement, motion field reconstruction, and explosive equivalence inversion are achieved. The results of the speed measurement are compared with those of the pressure sensors and the empirical formula, revealing a maximum error of 5.20% and a minimum error of 0.06%. The experimental results demonstrate that our method achieves high-precision measurement of the shock wave motion field with both high spatial and temporal resolution, representing significant progress.

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